A Hybrid Approach for Analysis of Dynamic Changes in Spatial Data

Any geographic location undergoes changes over a period of time. These changes can be observed by naked eye, only if they are huge in number spread over a small area. However, when the changes are small and spread over a large area, it is very difficult to observe or extract the changes. Presently, there are few methods available for tackling these types of problems, such as GRID, DBSCAN etc. However, these existing mechanisms are not adequate for finding an accurate changes or observation which is essential with respect to most important geometrical changes such as deforestations and land grabbing etc.,. This paper proposes new mechanism to solve the above problem. In this proposed method, spatial image changes are compared over a period of time taken by the satellite. Partitioning the satellite image in to grids, employed in the proposed hybrid method, provides finer details of the image which are responsible for improving the precision of clustering compared to whole image manipulation, used in DBSCAN, at a time .The simplicity of DBSCAN explored while processing portioned grid portion.